Multi-source data processing method for comprehensive utilization of regional regenerated water resources

Abstract

The invention discloses a multi-source data processing method for comprehensive utilization of regional regenerated water resources. The multi-source data processing method comprises the following steps: firstly, investigating and acquiring basic information such as geographic positions, administrative division range information, road infrastructure information, river system distribution information and the like of centralized reclaimed water treatment facilities in different regions; then, utilizing an ArcGIS analysis tool to create Thiessen polygons according to geographic position information of centralized reclaimed water treatment facilities in different regions; and taking the administrative division range as the basis; utilizing the ArcGIS to carry out gridding division and data processing on the paired regions, so as to define the service range of each centralized recycled water treatment facility in different regions and the water demand user category, water demand information, time and space distribution condition in the service range of each centralized recycled water treatment facility, and also define the supply-demand relationship of the recycled water resources in the service range of each centralized recycled water treatment facility, thus being able to provide scientific support for comprehensive utilization and space-time scheduling of the recycled water resources.

Description

technical field [0001] The present invention relates to the field of regional regeneration water resource data partitioning, in particular to a multi-source data processing method for comprehensive utilization of regional regeneration water resources. Background technique [0002] As the shortage of water resources in major cities has become increasingly prominent, with the improvement of environmental protection requirements and the in-depth development of ecological civilization construction, the urban sewage treatment design capacity and actual treatment capacity have increased rapidly. The centralized supply of renewable water resources mainly adopts "supply according to demand", and there is no clear service scope limit. The reality is that the delivery distance is the shortest. Therefore, we propose a multi-source data for comprehensive utilization of regional renewable water resources Approach. Contents of the invention [0003] Based on the technical problems exis...

AI Technical Summary

Problems solved by technology

[0002] As the shortage of water resources in major cities has become increasingly prominent, with the improvement of environmental protection requirements and the in-depth development of ecological civilization construction, the urban sewage treatment design capacity and actual treatment capacity have increased rapidly. The centralized supply of renewable water resources mainly adopts "supply according to demand", and there is no clear service scope limit. The reality is that the delivery distance is the shortest. Therefore, we propose a multi-source data for comprehensive utilization of regional renewable water resources Approach